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The technology industry is attempting to build autonomous agents on top of a fundamentally broken architecture. Standard large language models are stochastic text predictors. They lack memory, they drift from context, and they possess zero capacity for accountability. As we transition from software tools to autonomous entities operating within enterprise infrastructure, admissibility becomes an existential requirement. Exogram AI is built to secure this transition. We are the deterministic control plane and trust ledger for the autonomous AI era. Our API-accessible, four-layer architecture secures AI operations from the ground up: Layer 1 (Memory): Persistent structural memory to eliminate system amnesia. Layer 2 (Context & Inference): Deterministic inference to guarantee logical accuracy. Layer 3 (Clarification): Hard-coded operational boundaries that force AI to ask for human permission when dependencies are missing. Layer 4 (Admissibility): Cryptographic execution tokens to prevent rogue actions and establish verifiable audit trails. We capture the immediate market by making today's LLMs actually usable, while providing the strict admissibility guardrails required for the next decade of autonomous AI. Stop scaling broken architectures. Build on Exogram.

Website https://exogram.ai/
Employees 1 (1 on RocketReach)
Founded 2026
Industry Software Development

EXOGRAM AI Questions

Richard Ewing is the Founder and CEO | Interim CPO | VP Product | Enterprise AI and SaaS Transformation of EXOGRAM AI.

1 people are employed at EXOGRAM AI.

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